ABSTRACT. Despite the relevance of algorithm-driven sensing devices and connected vehicle data in smart transportation networks, only limited research has been conducted on this topic. Using and replicating data from APA, INRIX, Ipsos, Jones Day, Management Events, Nvidia, and Reuters, we performed analyses and made estimates regarding autonomous vehicle performance and intelligent sensor systems. The results of a study based on data collected from 6,800 respondents provide support for our research model. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.

Keywords: connected vehicle data; smart transportation network; sensing device

How to cite: Campbell, E., Novak, A., and Novak Sedlackova, A. (2021). “Algorithm-driven Sensing Devices and Connected Vehicle Data in Smart Transportation Networks,” Contemporary Readings in Law and Social Justice 13(1): 91–100. doi: 10.22381/CRLSJ13120219.

Received 18 March 2021 • Received in revised form 4 July 2021
Accepted 10 July 2021 • Available online 15 July 2021